Applied Machine Learning Research Engineer - Multimodal for Human Understanding

What you'll do

• Design, implement, and evaluate novel algorithms and models across AI, generative modeling, and computer vision.
• Build and productize ML systems for understanding human motion, activities, and representations.
• Collaborate across research, engineering, design, and domain teams to ship user-facing products.

What they ask for

• Strong experience developing machine-learning models.
• Proficiency in Python and solid software engineering fundamentals.
• Experience with at least one deep-learning framework, such as PyTorch or JAX, or equivalent.
• Master’s degree in Computer Science or a related field, plus 3 years of relevant industry experience.

Nice to have

• Hands-on experience training and deploying production-grade ML models; experience developing multimodal LLMs or generative models.
• Production-level experience with a compiled language (e.g., Swift, C++); expertise in computer vision, machine learning, multimodal LLMs, Reinforcement Learning, or Agentic AI; or a relevant PhD.

Pay

$150,400 and $277,600 USD base salary

Tools

Python, PyTorch, JAX, Swift, C++

AI focus

Develops and productizes ML systems for human understanding, including motion, activities, and representation learning; work spans multimodal foundation and large language models, generative modeling, and computer vision.